RepRisk

ESG data science and quantitative solutions

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About

RepRisk is an ESG data science firm and a pioneer in ESG risk research and quantitative solutions. RepRisk provides due diligence solutions used to prevent and mitigate ESG and business conduct risks related to operations, business relationships, and investments.

Born out of credit risk management, the purpose of RepRisk’s dataset is not to provide ESG ratings, but to systematically identify and assess material ESG risks. RepRisk takes an outside-in approach to ESG risks, by analyzing information from public sources and stakeholders and intentionally excluding company self-disclosures.

RepRisk leverages a combination of artificial intelligence and advanced machine learning with human analysis in 20 languages to translate big data into curated and actionable research and metrics, using a proprietary, rules-based methodology. RepRisk exclusively focuses on risks to capture adverse information that can have a reputational, compliance, and financial impact on a company.

Headquarter
Switzerland

Data Offering

The RepRisk Platform is the world’s largest database of its kind, consisting of 140k+ public and private companies and 35k+ projects of all sizes, in every sector and market. The Platform offers quantitative data (risk metrics and analytics) and extensive qualitative research on companies and projects such as mines, pipelines, and factories, as well as sectors, countries, ESG issues, NGOs, and more. RepRisk’s data history goes back to January 2007.

Firmographic DataBusiness Ownership DataStock Market DataResearch DataAlternative DataESG Data

Pricing

RepRisk has not published pricing information for their data services. This is common practice for data vendors and providers. Contact RepRisk to obtain current pricing.

Use Cases

Data Sources & Collection

Every day, RepRisk analyzes 90,000+ sources in 20 languages, including media, stakeholders, and other sources external to a company. Leveraging a combination of artificial intelligence and advanced machine learning with human analysis, RepRisk translates big data into curated and actionable research and metrics, using a proprietary, rules-based methodology. Its research scope consists of 28 ESG issues defined in line with key international standards such as the UN Global Compact.

Data Privacy

Integrations

Logo of Open:FactSet Marketplace integration

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